| Literature DB >> 33087731 |
Akira Yoshimoto1, Atsushi Yasumoto2, Yuko Kamiichi2, Haruna Shibayama2, Masaya Sato2, Yoshiki Misawa2, Kazuharu Morita2, Yoshikazu Ono2, Shinji Sone3, Tomoaki Satoh2, Yutaka Yatomi2.
Abstract
Vasovagal syncope (VVS) is well-known to occur in patients undergoing phlebotomy, however, there have been no large-scale studies of the incidence of VVS in the blood collection room. The aim of our present retrospective study was to investigate the conditions of phlebotomy and determine the incidence/factors predisposing to the development of VVS. We investigated 677,956 phlebotomies performed in outpatients in the blood collection room, to explore factors predisposing to the development of VVS. Our analysis revealed an overall incidence of VVS of 0.004% and suggested that use of more than 5 blood collection tubes and a waiting time of more than 15 min were associated with a higher risk of VVS. The odds ratios of these factors were 8.10 (95% CI 3.76-17.50) and 3.69 (95% CI 0.87-15.60), respectively. This is the large-scale study to analyze factors of the development of VVS in the blood collection room, and according to our results, use of a large number of blood collection tubes and a prolonged waiting time for phlebotomy may be risk factors for the development of VVS.Entities:
Mesh:
Year: 2020 PMID: 33087731 PMCID: PMC7578787 DOI: 10.1038/s41598-020-74265-9
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Characteristics of VVS patients.
| Male | Female | Total | |
|---|---|---|---|
| N | 8 | 19 | 27 |
| 2–19 | 2 | 5 | 7 |
| 20–29 | 4 | 7 | 11 |
| 30–39 | 0 | 1 | 1 |
| 40–49 | 1 | 3 | 4 |
| 50–59 | 0 | 2 | 2 |
| 60–99 | 1 | 1 | 2 |
| 0 | 4 | 11 | 15 |
| ≥ 1 | 4 | 8 | 12 |
VVS vasovagal syncope.
Figure 1Incidence of VVS. The data of patients who had undergone phlebotomy at the blood collection room of our hospital between January 1, 2015, and December 31, 2017 (n = 677,956) were analyzed. The incidence of VVS was evaluated by the time zone of the day in which the phlebotomies were performed (A), the number of blood collection tubes used (B), the waiting time (C), the number of waiting patients (D), and ratio of the number of waiting patients to the number of functioning blood collection booths (E). The clear and filled bar graphs show the total number of patients and the incidence of VVS, respectively.
Logistic regression analysis to identify the risk factors for VVS.
| Phlebotomy | VVS | Odds ratio | 95% CI for OR | P-value | |||
|---|---|---|---|---|---|---|---|
| Number | Number | % | (OR) | Lower | Upper | ||
| ≥ 5 | 102,336 | 16 | 0.016 | 8.10 | 3.76 | 17.50 | 0.0000 |
| < 5 | 575,620 | 11 | 0.002 | 1.00 | |||
| ≥ 15 | 13,252 | 2 | 0.015 | 3.69 | 0.87 | 15.60 | 0.0757 |
| < 15 | 664,704 | 25 | 0.004 | 1.00 | |||
VVS vasovagal syncope.
Figure 2Comparisons of the conditions in the present phlebotomy experience associated with the development of VVS (VVS (+) phlebotomy experience) and past phlebotomy experience not associated with VVS (VVS (−) phlebotomy experience) in the same patients. Number of blood collection tubes (A), waiting time (B), number of waiting patients (C), and ratio of the number of waiting patients to the number of functioning blood collection booths (D) were compared between the present phlebotomy experience associated with the development of VVS (VVS (+) phlebotomy experience) and past phlebotomy experience not associated with VVS (VVS (−) phlebotomy experience) in the same patients (n = 9). Each line shows the data of individual patients.